Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations25
Missing cells374
Missing cells (%)24.1%
Total size in memory17.6 KiB
Average record size in memory720.7 B

Variable types

Text9
Numeric49
DateTime3
Unsupported1

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w3_experimentidexperimentid
w3_lastpagelastpage
w3_submitdatesubmitdate
w3_startlanguagestartlanguage
w3_startdatestartdate
w3_datestampdatestamp
w3_refurlrefurl
w3_A01Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx
w3_A02w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]
w3_A02_otherOn which of the following smartphone brands have you installed and compiled the app? Answer: Other_
w3_A03Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________
w3_A03_otherDid you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________
w3_A04 [If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________
w3_A05 Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No
w3_A06[If w3_A05 = 1] What activities could you not place? ________________
w3_A07Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________
w3_A07_otherWhich of the following components would you like to see implemented?
w3_A08Other considerations about the experiment________________
w3_B01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.
w3_B01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
w3_B01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.
w3_B01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.
w3_B01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.
w3_B01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.
w3_B01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me
w3_B01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.
w3_B01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
w3_B01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.
w3_B01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.
w3_B01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.
w3_B01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.
w3_B01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)
w3_B01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.
w3_B01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.
w3_B01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.
w3_B01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.
w3_B01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.
w3_B01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune
w3_B01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.
w3_B01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.
w3_B01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.
w3_B01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.
w3_B01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.
w3_B01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.
w3_B01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.
w3_B01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.
w3_B01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.
w3_B01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.
w3_B01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.
w3_B01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.
w3_B01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.
w3_B01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.
w3_B01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.
w3_C01As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No
w3_C02What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0
w3_D01In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities
w3_interviewtimeinterviewtime
w3_GT_A
w3_GT_B
w3_GT_C
w3_GT_D

Alerts

w3_experimentid has constant value "wenetParaguay" Constant
w3_startlanguage has constant value "es" Constant
w3_refurl has constant value "android-gmail" Constant
w3_A01 has constant value "2" Constant
w3_A02_other has constant value "LG" Constant
w3_C01 has constant value "1" Constant
w3_D01 has constant value "1" Constant
w3_submitdate has 4 (16.0%) missing values Missing
w3_refurl has 20 (80.0%) missing values Missing
w3_A01 has 3 (12.0%) missing values Missing
w3_A02 has 3 (12.0%) missing values Missing
w3_A02_other has 24 (96.0%) missing values Missing
w3_A03 has 3 (12.0%) missing values Missing
w3_A03_other has 25 (100.0%) missing values Missing
w3_A04 has 16 (64.0%) missing values Missing
w3_A05 has 4 (16.0%) missing values Missing
w3_A06 has 18 (72.0%) missing values Missing
w3_A07 has 4 (16.0%) missing values Missing
w3_A07_other has 20 (80.0%) missing values Missing
w3_A08 has 18 (72.0%) missing values Missing
w3_B01_1 has 5 (20.0%) missing values Missing
w3_B01_2 has 5 (20.0%) missing values Missing
w3_B01_3 has 5 (20.0%) missing values Missing
w3_B01_4 has 5 (20.0%) missing values Missing
w3_B01_5 has 5 (20.0%) missing values Missing
w3_B01_6 has 5 (20.0%) missing values Missing
w3_B01_7 has 5 (20.0%) missing values Missing
w3_B01_8 has 5 (20.0%) missing values Missing
w3_B01_9 has 5 (20.0%) missing values Missing
w3_B01_10 has 5 (20.0%) missing values Missing
w3_B01_11 has 5 (20.0%) missing values Missing
w3_B01_12 has 5 (20.0%) missing values Missing
w3_B01_13 has 5 (20.0%) missing values Missing
w3_B01_14 has 5 (20.0%) missing values Missing
w3_B01_15 has 5 (20.0%) missing values Missing
w3_B01_16 has 5 (20.0%) missing values Missing
w3_B01_17 has 5 (20.0%) missing values Missing
w3_B01_18 has 5 (20.0%) missing values Missing
w3_B01_19 has 5 (20.0%) missing values Missing
w3_B01_20 has 5 (20.0%) missing values Missing
w3_B01_21 has 5 (20.0%) missing values Missing
w3_B01_22 has 5 (20.0%) missing values Missing
w3_B01_23 has 5 (20.0%) missing values Missing
w3_B01_24 has 5 (20.0%) missing values Missing
w3_B01_25 has 5 (20.0%) missing values Missing
w3_B01_26 has 5 (20.0%) missing values Missing
w3_B01_27 has 5 (20.0%) missing values Missing
w3_B01_28 has 5 (20.0%) missing values Missing
w3_B01_29 has 5 (20.0%) missing values Missing
w3_B01_30 has 6 (24.0%) missing values Missing
w3_B01_31 has 5 (20.0%) missing values Missing
w3_B01_32 has 5 (20.0%) missing values Missing
w3_B01_33 has 5 (20.0%) missing values Missing
w3_B01_34 has 5 (20.0%) missing values Missing
w3_B01_35 has 6 (24.0%) missing values Missing
w3_C01 has 5 (20.0%) missing values Missing
w3_C02 has 5 (20.0%) missing values Missing
w3_D01 has 5 (20.0%) missing values Missing
w3_interviewtime has 1 (4.0%) missing values Missing
w3_GT_A has 4 (16.0%) missing values Missing
w3_GT_B has 5 (20.0%) missing values Missing
w3_GT_C has 5 (20.0%) missing values Missing
w3_GT_D has 5 (20.0%) missing values Missing
token has unique values Unique
w3_startdate has unique values Unique
w3_datestamp has unique values Unique
w3_A03_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w3_lastpage has 3 (12.0%) zeros Zeros
w3_interviewtime has 3 (12.0%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:47:25.110992
Analysis finished2025-02-26 16:47:25.245947
Duration0.13 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size707.0 B
2025-02-26T17:47:25.356189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters375
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row5zbbi53RsD6y6ax
2nd row8BmpDYyd1jgnkBt
3rd rowbokb32Mu5naJNv7
4th rowDzDTU8no3DPvFTI
5th rowG4JV4BhDOD5F27j
ValueCountFrequency (%)
5zbbi53rsd6y6ax 1
 
4.0%
8bmpdyyd1jgnkbt 1
 
4.0%
bokb32mu5najnv7 1
 
4.0%
dzdtu8no3dpvfti 1
 
4.0%
g4jv4bhdod5f27j 1
 
4.0%
g5b4letsx3txpwn 1
 
4.0%
gisgvltkkpuvx90 1
 
4.0%
hlqxs9cqjmvazyk 1
 
4.0%
i2zgm6wc0kci5yw 1
 
4.0%
m0op1be46yahel7 1
 
4.0%
Other values (15) 15
60.0%
2025-02-26T17:47:25.524077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
b 13
 
3.5%
i 12
 
3.2%
D 12
 
3.2%
a 12
 
3.2%
z 10
 
2.7%
Y 10
 
2.7%
v 10
 
2.7%
T 10
 
2.7%
X 10
 
2.7%
5 9
 
2.4%
Other values (52) 267
71.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 375
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
b 13
 
3.5%
i 12
 
3.2%
D 12
 
3.2%
a 12
 
3.2%
z 10
 
2.7%
Y 10
 
2.7%
v 10
 
2.7%
T 10
 
2.7%
X 10
 
2.7%
5 9
 
2.4%
Other values (52) 267
71.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 375
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
b 13
 
3.5%
i 12
 
3.2%
D 12
 
3.2%
a 12
 
3.2%
z 10
 
2.7%
Y 10
 
2.7%
v 10
 
2.7%
T 10
 
2.7%
X 10
 
2.7%
5 9
 
2.4%
Other values (52) 267
71.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 375
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
b 13
 
3.5%
i 12
 
3.2%
D 12
 
3.2%
a 12
 
3.2%
z 10
 
2.7%
Y 10
 
2.7%
v 10
 
2.7%
T 10
 
2.7%
X 10
 
2.7%
5 9
 
2.4%
Other values (52) 267
71.2%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size657.0 B
2025-02-26T17:47:25.601311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters325
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetParaguay
2nd rowwenetParaguay
3rd rowwenetParaguay
4th rowwenetParaguay
5th rowwenetParaguay
ValueCountFrequency (%)
wenetparaguay 25
100.0%
2025-02-26T17:47:25.710584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 75
23.1%
e 50
15.4%
w 25
 
7.7%
n 25
 
7.7%
t 25
 
7.7%
P 25
 
7.7%
r 25
 
7.7%
g 25
 
7.7%
u 25
 
7.7%
y 25
 
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 75
23.1%
e 50
15.4%
w 25
 
7.7%
n 25
 
7.7%
t 25
 
7.7%
P 25
 
7.7%
r 25
 
7.7%
g 25
 
7.7%
u 25
 
7.7%
y 25
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 75
23.1%
e 50
15.4%
w 25
 
7.7%
n 25
 
7.7%
t 25
 
7.7%
P 25
 
7.7%
r 25
 
7.7%
g 25
 
7.7%
u 25
 
7.7%
y 25
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 75
23.1%
e 50
15.4%
w 25
 
7.7%
n 25
 
7.7%
t 25
 
7.7%
P 25
 
7.7%
r 25
 
7.7%
g 25
 
7.7%
u 25
 
7.7%
y 25
 
7.7%

w3_lastpage
Real number (ℝ)

Zeros 

lastpage

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum0
Maximum4
Zeros3
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:25.750484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.414213562
Coefficient of variation (CV)0.4159451654
Kurtosis2.429841897
Mean3.4
Median Absolute Deviation (MAD)0
Skewness-2.036774968
Sum85
Variance2
MonotonicityNot monotonic
2025-02-26T17:47:25.789918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 21
84.0%
0 3
 
12.0%
1 1
 
4.0%
ValueCountFrequency (%)
0 3
 
12.0%
1 1
 
4.0%
4 21
84.0%
ValueCountFrequency (%)
4 21
84.0%
1 1
 
4.0%
0 3
 
12.0%

w3_submitdate
Date

Missing 

submitdate

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Memory size332.0 B
Minimum2020-12-01 02:17:37
Maximum2020-12-03 19:46:28
2025-02-26T17:47:25.832246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:25.941125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

w3_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size382.0 B
2025-02-26T17:47:25.976840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters50
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowes
2nd rowes
3rd rowes
4th rowes
5th rowes
ValueCountFrequency (%)
es 25
100.0%
2025-02-26T17:47:26.047167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 25
50.0%
s 25
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 25
50.0%
s 25
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 25
50.0%
s 25
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 50
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 25
50.0%
s 25
50.0%

w3_startdate
Date

Unique 

startdate

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2020-12-01 02:08:06
Maximum2020-12-08 22:39:57
2025-02-26T17:47:26.093455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:26.144642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

w3_datestamp
Date

Unique 

datestamp

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2020-12-01 02:17:36
Maximum2020-12-08 22:39:57
2025-02-26T17:47:26.191830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:26.240694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

w3_refurl
Text

Constant  Missing 

refurl

Distinct1
Distinct (%)20.0%
Missing20
Missing (%)80.0%
Memory size401.0 B
2025-02-26T17:47:26.311407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters65
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 5
100.0%
2025-02-26T17:47:26.419665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 10
15.4%
d 10
15.4%
i 10
15.4%
n 5
7.7%
r 5
7.7%
o 5
7.7%
- 5
7.7%
g 5
7.7%
m 5
7.7%
l 5
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 65
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 10
15.4%
d 10
15.4%
i 10
15.4%
n 5
7.7%
r 5
7.7%
o 5
7.7%
- 5
7.7%
g 5
7.7%
m 5
7.7%
l 5
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 65
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 10
15.4%
d 10
15.4%
i 10
15.4%
n 5
7.7%
r 5
7.7%
o 5
7.7%
- 5
7.7%
g 5
7.7%
m 5
7.7%
l 5
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 65
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 10
15.4%
d 10
15.4%
i 10
15.4%
n 5
7.7%
r 5
7.7%
o 5
7.7%
- 5
7.7%
g 5
7.7%
m 5
7.7%
l 5
7.7%

w3_A01
Real number (ℝ)

Constant  Missing 

Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx

Distinct1
Distinct (%)4.5%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:26.459325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum44
Variance0
MonotonicityIncreasing
2025-02-26T17:47:26.493840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 22
88.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
2 22
88.0%
ValueCountFrequency (%)
2 22
88.0%

w3_A02
Real number (ℝ)

Missing 

w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]

Distinct5
Distinct (%)22.7%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean3.409090909
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:26.528162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4.95
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.652100853
Coefficient of variation (CV)0.4846162503
Kurtosis1.80047625
Mean3.409090909
Median Absolute Deviation (MAD)0
Skewness0.3850623133
Sum75
Variance2.729437229
MonotonicityNot monotonic
2025-02-26T17:47:26.566499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
48.0%
1 5
20.0%
3 3
 
12.0%
5 1
 
4.0%
8 1
 
4.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
1 5
20.0%
3 3
 
12.0%
4 12
48.0%
5 1
 
4.0%
8 1
 
4.0%
ValueCountFrequency (%)
8 1
 
4.0%
5 1
 
4.0%
4 12
48.0%
3 3
 
12.0%
1 5
20.0%

w3_A02_other
Text

Constant  Missing 

On which of the following smartphone brands have you installed and compiled the app? Answer: Other_

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size338.0 B
2025-02-26T17:47:26.593418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowLG
ValueCountFrequency (%)
lg 1
100.0%
2025-02-26T17:47:26.663820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

w3_A03
Real number (ℝ)

Missing 

Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________

Distinct5
Distinct (%)22.7%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean2.181818182
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:26.706773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile4.95
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.562548701
Coefficient of variation (CV)0.7161681544
Kurtosis-1.283944867
Mean2.181818182
Median Absolute Deviation (MAD)0
Skewness0.7400620399
Sum48
Variance2.441558442
MonotonicityNot monotonic
2025-02-26T17:47:26.747808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 13
52.0%
4 5
 
20.0%
5 2
 
8.0%
2 1
 
4.0%
3 1
 
4.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
1 13
52.0%
2 1
 
4.0%
3 1
 
4.0%
4 5
 
20.0%
5 2
 
8.0%
ValueCountFrequency (%)
5 2
 
8.0%
4 5
 
20.0%
3 1
 
4.0%
2 1
 
4.0%
1 13
52.0%

w3_A03_other
Unsupported

Missing  Rejected  Unsupported 

Did you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________

Missing25
Missing (%)100.0%
Memory size336.0 B

w3_A04
Text

Missing 

[If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Memory size1.1 KiB
2025-02-26T17:47:26.871991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length187
Median length88
Mean length91.11111111
Min length48

Characters and Unicode

Total characters820
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowno reconocia mi correo electronico y no podia activar mi cuenta
2nd rowAl instalar y registrarme con el código que me proporcionaron, la app no avanzaba
3rd rowY al principio no sabía que podía marcar más de una opción en algunos campos, como por ejemplo con la comida y cosas así, marcaba solamente uno hasta que descubrí que podía marcas varios.
4th rowNo fue fácil encontrar la app en playstore, asi tambien descargó muy lentamente.
5th rowLa configuración del tiempo en que lanza las preguntas ya no se puede volver a modificar
ValueCountFrequency (%)
no 10
 
6.9%
que 8
 
5.6%
en 6
 
4.2%
la 5
 
3.5%
y 4
 
2.8%
al 4
 
2.8%
podía 4
 
2.8%
el 3
 
2.1%
app 3
 
2.1%
se 3
 
2.1%
Other values (84) 94
65.3%
2025-02-26T17:47:27.048926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
16.5%
a 78
 
9.5%
e 77
 
9.4%
o 69
 
8.4%
r 49
 
6.0%
n 48
 
5.9%
i 42
 
5.1%
s 38
 
4.6%
c 37
 
4.5%
p 33
 
4.0%
Other values (28) 214
26.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
135
16.5%
a 78
 
9.5%
e 77
 
9.4%
o 69
 
8.4%
r 49
 
6.0%
n 48
 
5.9%
i 42
 
5.1%
s 38
 
4.6%
c 37
 
4.5%
p 33
 
4.0%
Other values (28) 214
26.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
135
16.5%
a 78
 
9.5%
e 77
 
9.4%
o 69
 
8.4%
r 49
 
6.0%
n 48
 
5.9%
i 42
 
5.1%
s 38
 
4.6%
c 37
 
4.5%
p 33
 
4.0%
Other values (28) 214
26.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
135
16.5%
a 78
 
9.5%
e 77
 
9.4%
o 69
 
8.4%
r 49
 
6.0%
n 48
 
5.9%
i 42
 
5.1%
s 38
 
4.6%
c 37
 
4.5%
p 33
 
4.0%
Other values (28) 214
26.1%

w3_A05
Real number (ℝ)

Missing 

Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No

Distinct2
Distinct (%)9.5%
Missing4
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:27.155781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4830458915
Coefficient of variation (CV)0.2898275349
Kurtosis-1.578947368
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness-0.7627040393
Sum35
Variance0.2333333333
MonotonicityNot monotonic
2025-02-26T17:47:27.194564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
56.0%
1 7
28.0%
(Missing) 4
 
16.0%
ValueCountFrequency (%)
1 7
28.0%
2 14
56.0%
ValueCountFrequency (%)
2 14
56.0%
1 7
28.0%

w3_A06
Text

Missing 

[If w3_A05 = 1] What activities could you not place? ________________

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Memory size1.2 KiB
2025-02-26T17:47:27.316962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length473
Median length50
Mean length119.4285714
Min length15

Characters and Unicode

Total characters836
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowBebidas: terere
2nd rowVisita al médico o centro médico
3rd rowCon quien estas, solo figura pariente y pareja, no figura hijos, por lo que siempre le puse pariente.
4th rowLos detalles de desayuno, almuerzo, merienda y cena, debe mejorar en la programación de no molestar de manera accesible y facil
5th rowcomidas, lugares y/o tipos de trabajos
ValueCountFrequency (%)
de 9
 
6.5%
o 6
 
4.3%
y 4
 
2.9%
no 4
 
2.9%
en 4
 
2.9%
mientras 4
 
2.9%
solo 3
 
2.2%
por 3
 
2.2%
la 3
 
2.2%
al 2
 
1.4%
Other values (90) 96
69.6%
2025-02-26T17:47:27.497141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
15.7%
e 101
12.1%
o 68
 
8.1%
a 67
 
8.0%
i 51
 
6.1%
s 48
 
5.7%
r 47
 
5.6%
n 44
 
5.3%
d 36
 
4.3%
t 34
 
4.1%
Other values (27) 209
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
131
15.7%
e 101
12.1%
o 68
 
8.1%
a 67
 
8.0%
i 51
 
6.1%
s 48
 
5.7%
r 47
 
5.6%
n 44
 
5.3%
d 36
 
4.3%
t 34
 
4.1%
Other values (27) 209
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
131
15.7%
e 101
12.1%
o 68
 
8.1%
a 67
 
8.0%
i 51
 
6.1%
s 48
 
5.7%
r 47
 
5.6%
n 44
 
5.3%
d 36
 
4.3%
t 34
 
4.1%
Other values (27) 209
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
131
15.7%
e 101
12.1%
o 68
 
8.1%
a 67
 
8.0%
i 51
 
6.1%
s 48
 
5.7%
r 47
 
5.6%
n 44
 
5.3%
d 36
 
4.3%
t 34
 
4.1%
Other values (27) 209
25.0%

w3_A07
Real number (ℝ)

Missing 

Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________

Distinct7
Distinct (%)33.3%
Missing4
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.952380952
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:27.544647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.224324403
Coefficient of variation (CV)0.5627808729
Kurtosis-1.461755041
Mean3.952380952
Median Absolute Deviation (MAD)2
Skewness0.2166230003
Sum83
Variance4.947619048
MonotonicityNot monotonic
2025-02-26T17:47:27.580951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 5
20.0%
3 4
16.0%
2 4
16.0%
5 3
12.0%
1 3
12.0%
4 1
 
4.0%
6 1
 
4.0%
(Missing) 4
16.0%
ValueCountFrequency (%)
1 3
12.0%
2 4
16.0%
3 4
16.0%
4 1
 
4.0%
5 3
12.0%
ValueCountFrequency (%)
7 5
20.0%
6 1
 
4.0%
5 3
12.0%
4 1
 
4.0%
3 4
16.0%

w3_A07_other
Text

Missing 

Which of the following components would you like to see implemented?

Distinct5
Distinct (%)100.0%
Missing20
Missing (%)80.0%
Memory size831.0 B
2025-02-26T17:47:27.675533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length154
Median length113
Mean length97.6
Min length20

Characters and Unicode

Total characters488
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowque automaticamente luego de las 22 se desactiven las notificaciones
2nd rowSeria bueno poder tener un buscador de opciones, por ejemplo donde estoy, tengo que recorrer cada vez. mas facil si teclamos y busca.
3rd rowTodas las anteriores
4th rowLe falta ciertas facilidades a la app, tipo las preguntas de corridas, hace muy lento el proceso al pasar y pasar
5th rowPresencia de un mayor número de horas para la opción “Dormir”, Introducción de ventanas emergente que expliquen el contenido de las opciones de respuesta.
ValueCountFrequency (%)
de 8
 
9.9%
las 5
 
6.2%
que 3
 
3.7%
un 2
 
2.5%
opciones 2
 
2.5%
y 2
 
2.5%
la 2
 
2.5%
el 2
 
2.5%
pasar 2
 
2.5%
automaticamente 1
 
1.2%
Other values (52) 52
64.2%
2025-02-26T17:47:27.828018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
15.6%
e 58
11.9%
a 45
 
9.2%
o 33
 
6.8%
s 30
 
6.1%
r 28
 
5.7%
n 26
 
5.3%
i 22
 
4.5%
c 22
 
4.5%
t 20
 
4.1%
Other values (28) 128
26.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 488
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
76
15.6%
e 58
11.9%
a 45
 
9.2%
o 33
 
6.8%
s 30
 
6.1%
r 28
 
5.7%
n 26
 
5.3%
i 22
 
4.5%
c 22
 
4.5%
t 20
 
4.1%
Other values (28) 128
26.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 488
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
76
15.6%
e 58
11.9%
a 45
 
9.2%
o 33
 
6.8%
s 30
 
6.1%
r 28
 
5.7%
n 26
 
5.3%
i 22
 
4.5%
c 22
 
4.5%
t 20
 
4.1%
Other values (28) 128
26.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 488
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
76
15.6%
e 58
11.9%
a 45
 
9.2%
o 33
 
6.8%
s 30
 
6.1%
r 28
 
5.7%
n 26
 
5.3%
i 22
 
4.5%
c 22
 
4.5%
t 20
 
4.1%
Other values (28) 128
26.2%

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Memory size1.5 KiB
2025-02-26T17:47:28.009088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length707
Median length122
Mean length175
Min length7

Characters and Unicode

Total characters1225
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowTener más tiempo para poder responder las preguntas, en este tiempo de exámenes finales dificultó encontrar espacios para poder responder las preguntas
2nd rowNinguna
3rd rowBastante accesible hasta el momento y con ganas de seguir participando y contribuyendo con el experimento y ver los resultados
4th rowCreo que se podría hacer la app más práctica, personalmente completo suelo completar pero hace tedioso y cuelga mi celular
5th rowTanto trabajar como dormir son actividades "repetitivas" que llevan muchas horas.
ValueCountFrequency (%)
de 10
 
4.8%
que 7
 
3.4%
la 7
 
3.4%
en 6
 
2.9%
las 5
 
2.4%
se 5
 
2.4%
opción 5
 
2.4%
más 4
 
1.9%
el 4
 
1.9%
y 4
 
1.9%
Other values (118) 151
72.6%
2025-02-26T17:47:28.238215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
16.4%
e 144
11.8%
a 98
 
8.0%
o 96
 
7.8%
n 81
 
6.6%
s 75
 
6.1%
r 67
 
5.5%
i 58
 
4.7%
t 51
 
4.2%
c 48
 
3.9%
Other values (29) 306
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1225
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
201
16.4%
e 144
11.8%
a 98
 
8.0%
o 96
 
7.8%
n 81
 
6.6%
s 75
 
6.1%
r 67
 
5.5%
i 58
 
4.7%
t 51
 
4.2%
c 48
 
3.9%
Other values (29) 306
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1225
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
201
16.4%
e 144
11.8%
a 98
 
8.0%
o 96
 
7.8%
n 81
 
6.6%
s 75
 
6.1%
r 67
 
5.5%
i 58
 
4.7%
t 51
 
4.2%
c 48
 
3.9%
Other values (29) 306
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1225
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
201
16.4%
e 144
11.8%
a 98
 
8.0%
o 96
 
7.8%
n 81
 
6.6%
s 75
 
6.1%
r 67
 
5.5%
i 58
 
4.7%
t 51
 
4.2%
c 48
 
3.9%
Other values (29) 306
25.0%

w3_B01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.324525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.23969436
Coefficient of variation (CV)0.4427479856
Kurtosis-0.813924181
Mean2.8
Median Absolute Deviation (MAD)1
Skewness0.2357334618
Sum56
Variance1.536842105
MonotonicityNot monotonic
2025-02-26T17:47:28.389421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 6
24.0%
3 5
20.0%
4 4
16.0%
1 3
12.0%
5 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 3
12.0%
2 6
24.0%
3 5
20.0%
4 4
16.0%
5 2
 
8.0%
ValueCountFrequency (%)
5 2
 
8.0%
4 4
16.0%
3 5
20.0%
2 6
24.0%
1 3
12.0%

w3_B01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.1
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.436785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333771858
Coefficient of variation (CV)0.4302489864
Kurtosis-0.8722507245
Mean3.1
Median Absolute Deviation (MAD)1
Skewness-0.0532369286
Sum62
Variance1.778947368
MonotonicityNot monotonic
2025-02-26T17:47:28.483347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7
28.0%
5 4
16.0%
2 3
12.0%
1 3
12.0%
4 3
12.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 3
12.0%
2 3
12.0%
3 7
28.0%
4 3
12.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 3
12.0%
3 7
28.0%
2 3
12.0%
1 3
12.0%

w3_B01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.05
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.530510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.05
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.145931017
Coefficient of variation (CV)0.5589907398
Kurtosis0.7830679631
Mean2.05
Median Absolute Deviation (MAD)1
Skewness1.059191904
Sum41
Variance1.313157895
MonotonicityNot monotonic
2025-02-26T17:47:28.571463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 8
32.0%
2 6
24.0%
3 4
16.0%
4 1
 
4.0%
5 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 8
32.0%
2 6
24.0%
3 4
16.0%
4 1
 
4.0%
5 1
 
4.0%
ValueCountFrequency (%)
5 1
 
4.0%
4 1
 
4.0%
3 4
16.0%
2 6
24.0%
1 8
32.0%

w3_B01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.612062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321880638
Coefficient of variation (CV)0.3478633258
Kurtosis0.04907653292
Mean3.8
Median Absolute Deviation (MAD)1
Skewness-0.9600536302
Sum76
Variance1.747368421
MonotonicityNot monotonic
2025-02-26T17:47:28.652201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 8
32.0%
4 5
20.0%
3 4
16.0%
1 2
 
8.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 1
 
4.0%
3 4
16.0%
4 5
20.0%
5 8
32.0%
ValueCountFrequency (%)
5 8
32.0%
4 5
20.0%
3 4
16.0%
2 1
 
4.0%
1 2
 
8.0%

w3_B01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.692803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.332784975
Coefficient of variation (CV)0.3554093267
Kurtosis-0.2219962882
Mean3.75
Median Absolute Deviation (MAD)1
Skewness-0.8244131295
Sum75
Variance1.776315789
MonotonicityNot monotonic
2025-02-26T17:47:28.737065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 8
32.0%
3 5
20.0%
4 4
16.0%
1 2
 
8.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 1
 
4.0%
3 5
20.0%
4 4
16.0%
5 8
32.0%
ValueCountFrequency (%)
5 8
32.0%
4 4
16.0%
3 5
20.0%
2 1
 
4.0%
1 2
 
8.0%

w3_B01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.85
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.775663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9333020045
Coefficient of variation (CV)0.2424161051
Kurtosis-1.076628276
Mean3.85
Median Absolute Deviation (MAD)1
Skewness-0.1068227484
Sum77
Variance0.8710526316
MonotonicityNot monotonic
2025-02-26T17:47:28.814369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 7
28.0%
4 6
24.0%
5 6
24.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 7
28.0%
4 6
24.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 6
24.0%
3 7
28.0%
2 1
 
4.0%

w3_B01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.35
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.853227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q12
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.225818738
Coefficient of variation (CV)0.3659160413
Kurtosis-1.047370982
Mean3.35
Median Absolute Deviation (MAD)1
Skewness-0.1852533126
Sum67
Variance1.502631579
MonotonicityNot monotonic
2025-02-26T17:47:28.895023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6
24.0%
2 5
20.0%
3 4
16.0%
5 4
16.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 5
20.0%
3 4
16.0%
4 6
24.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 6
24.0%
3 4
16.0%
2 5
20.0%
1 1
 
4.0%

w3_B01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:28.935012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13.75
median4
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.105012503
Coefficient of variation (CV)0.2907927639
Kurtosis0.9989275139
Mean3.8
Median Absolute Deviation (MAD)0.5
Skewness-1.123407479
Sum76
Variance1.221052632
MonotonicityNot monotonic
2025-02-26T17:47:28.975409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
40.0%
5 5
20.0%
3 2
 
8.0%
2 2
 
8.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 2
 
8.0%
3 2
 
8.0%
4 10
40.0%
5 5
20.0%
ValueCountFrequency (%)
5 5
20.0%
4 10
40.0%
3 2
 
8.0%
2 2
 
8.0%
1 1
 
4.0%

w3_B01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.9
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.015846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q12
median3
Q33.25
95-th percentile4.05
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9679060415
Coefficient of variation (CV)0.333760704
Kurtosis-0.05973201047
Mean2.9
Median Absolute Deviation (MAD)1
Skewness0.2166923428
Sum58
Variance0.9368421053
MonotonicityNot monotonic
2025-02-26T17:47:29.055658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 8
32.0%
2 6
24.0%
4 4
16.0%
5 1
 
4.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 6
24.0%
3 8
32.0%
4 4
16.0%
5 1
 
4.0%
ValueCountFrequency (%)
5 1
 
4.0%
4 4
16.0%
3 8
32.0%
2 6
24.0%
1 1
 
4.0%

w3_B01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.3
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.094196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8645047259
Coefficient of variation (CV)0.2619711291
Kurtosis-0.1049433858
Mean3.3
Median Absolute Deviation (MAD)0.5
Skewness0.4235918812
Sum66
Variance0.7473684211
MonotonicityNot monotonic
2025-02-26T17:47:29.130627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 10
40.0%
4 5
20.0%
2 3
 
12.0%
5 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 3
 
12.0%
3 10
40.0%
4 5
20.0%
5 2
 
8.0%
ValueCountFrequency (%)
5 2
 
8.0%
4 5
20.0%
3 10
40.0%
2 3
 
12.0%

w3_B01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.167925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.100239208
Coefficient of variation (CV)0.3143540596
Kurtosis-0.07605915712
Mean3.5
Median Absolute Deviation (MAD)0.5
Skewness-0.3951709822
Sum70
Variance1.210526316
MonotonicityNot monotonic
2025-02-26T17:47:29.210148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7
28.0%
4 6
24.0%
5 4
16.0%
2 2
 
8.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 2
 
8.0%
3 7
28.0%
4 6
24.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 6
24.0%
3 7
28.0%
2 2
 
8.0%
1 1
 
4.0%

w3_B01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4.35
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.250446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182103388
Coefficient of variation (CV)0.2717479054
Kurtosis2.587829731
Mean4.35
Median Absolute Deviation (MAD)0
Skewness-1.831563399
Sum87
Variance1.397368421
MonotonicityNot monotonic
2025-02-26T17:47:29.292448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 14
56.0%
4 2
 
8.0%
3 2
 
8.0%
1 1
 
4.0%
2 1
 
4.0%
(Missing) 5
 
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
3 2
 
8.0%
4 2
 
8.0%
5 14
56.0%
ValueCountFrequency (%)
5 14
56.0%
4 2
 
8.0%
3 2
 
8.0%
2 1
 
4.0%
1 1
 
4.0%

w3_B01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.331403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q13
median3.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.966545667
Coefficient of variation (CV)0.2577455112
Kurtosis-1.313418206
Mean3.75
Median Absolute Deviation (MAD)0.5
Skewness0.1700067099
Sum75
Variance0.9342105263
MonotonicityNot monotonic
2025-02-26T17:47:29.367135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 9
36.0%
5 6
24.0%
4 4
16.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 9
36.0%
4 4
16.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 4
16.0%
3 9
36.0%
2 1
 
4.0%

w3_B01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.404688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321880638
Coefficient of variation (CV)0.4130876994
Kurtosis-1.14336154
Mean3.2
Median Absolute Deviation (MAD)1
Skewness-0.1032969096
Sum64
Variance1.747368421
MonotonicityNot monotonic
2025-02-26T17:47:29.445251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 5
20.0%
2 5
20.0%
5 4
16.0%
3 4
16.0%
1 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 5
20.0%
3 4
16.0%
4 5
20.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 5
20.0%
3 4
16.0%
2 5
20.0%
1 2
 
8.0%

w3_B01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.95
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.483850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.75
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9445132414
Coefficient of variation (CV)0.2391172763
Kurtosis-0.03053760205
Mean3.95
Median Absolute Deviation (MAD)1
Skewness-0.7256108605
Sum79
Variance0.8921052632
MonotonicityNot monotonic
2025-02-26T17:47:29.519679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 9
36.0%
5 6
24.0%
3 3
 
12.0%
2 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 2
 
8.0%
3 3
 
12.0%
4 9
36.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 9
36.0%
3 3
 
12.0%
2 2
 
8.0%

w3_B01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.05
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.556513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.571958216
Coefficient of variation (CV)0.5153961363
Kurtosis-1.585913164
Mean3.05
Median Absolute Deviation (MAD)1.5
Skewness0.08965255313
Sum61
Variance2.471052632
MonotonicityNot monotonic
2025-02-26T17:47:29.598492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 6
24.0%
2 5
20.0%
1 4
16.0%
3 3
12.0%
4 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 4
16.0%
2 5
20.0%
3 3
12.0%
4 2
 
8.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 2
 
8.0%
3 3
12.0%
2 5
20.0%
1 4
16.0%

w3_B01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.85
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.638538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.05
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.182103388
Coefficient of variation (CV)0.4147731188
Kurtosis-0.6530022821
Mean2.85
Median Absolute Deviation (MAD)1
Skewness-0.3180940784
Sum57
Variance1.397368421
MonotonicityNot monotonic
2025-02-26T17:47:29.678744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 8
32.0%
4 5
20.0%
1 4
16.0%
2 2
 
8.0%
5 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 4
16.0%
2 2
 
8.0%
3 8
32.0%
4 5
20.0%
5 1
 
4.0%
ValueCountFrequency (%)
5 1
 
4.0%
4 5
20.0%
3 8
32.0%
2 2
 
8.0%
1 4
16.0%

w3_B01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.718175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.251315098
Coefficient of variation (CV)0.3850200301
Kurtosis-0.8463842284
Mean3.25
Median Absolute Deviation (MAD)0.5
Skewness-0.3469738919
Sum65
Variance1.565789474
MonotonicityNot monotonic
2025-02-26T17:47:29.762399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 7
28.0%
3 4
16.0%
2 4
16.0%
5 3
12.0%
1 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 4
16.0%
3 4
16.0%
4 7
28.0%
5 3
12.0%
ValueCountFrequency (%)
5 3
12.0%
4 7
28.0%
3 4
16.0%
2 4
16.0%
1 2
 
8.0%

w3_B01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.803288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.357241785
Coefficient of variation (CV)0.3877833672
Kurtosis-0.8941176471
Mean3.5
Median Absolute Deviation (MAD)1
Skewness-0.4911922651
Sum70
Variance1.842105263
MonotonicityNot monotonic
2025-02-26T17:47:29.844386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 6
24.0%
4 5
20.0%
3 4
16.0%
2 3
12.0%
1 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 3
12.0%
3 4
16.0%
4 5
20.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 5
20.0%
3 4
16.0%
2 3
12.0%
1 2
 
8.0%

w3_B01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.85
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.886040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.598519051
Coefficient of variation (CV)0.5608838777
Kurtosis-1.696162314
Mean2.85
Median Absolute Deviation (MAD)1.5
Skewness0.09900169362
Sum57
Variance2.555263158
MonotonicityNot monotonic
2025-02-26T17:47:29.926922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6
24.0%
4 5
20.0%
5 4
16.0%
2 4
16.0%
3 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 6
24.0%
2 4
16.0%
3 1
 
4.0%
4 5
20.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 5
20.0%
3 1
 
4.0%
2 4
16.0%
1 6
24.0%

w3_B01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.15
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:29.970420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.348488433
Coefficient of variation (CV)0.4280915659
Kurtosis-0.9548713795
Mean3.15
Median Absolute Deviation (MAD)1
Skewness-0.1577582434
Sum63
Variance1.818421053
MonotonicityNot monotonic
2025-02-26T17:47:30.081499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6
24.0%
4 4
16.0%
5 4
16.0%
2 3
12.0%
1 3
12.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 3
12.0%
2 3
12.0%
3 6
24.0%
4 4
16.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 4
16.0%
3 6
24.0%
2 3
12.0%
1 3
12.0%

w3_B01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.85
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.121785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.182103388
Coefficient of variation (CV)0.3070398412
Kurtosis0.2792918587
Mean3.85
Median Absolute Deviation (MAD)1
Skewness-0.9553443188
Sum77
Variance1.397368421
MonotonicityNot monotonic
2025-02-26T17:47:30.163717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 7
28.0%
5 7
28.0%
3 3
12.0%
2 2
 
8.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 2
 
8.0%
3 3
12.0%
4 7
28.0%
5 7
28.0%
ValueCountFrequency (%)
5 7
28.0%
4 7
28.0%
3 3
12.0%
2 2
 
8.0%
1 1
 
4.0%

w3_B01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.203911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.332784975
Coefficient of variation (CV)0.4100876846
Kurtosis-0.7714677641
Mean3.25
Median Absolute Deviation (MAD)1
Skewness-0.3612596859
Sum65
Variance1.776315789
MonotonicityNot monotonic
2025-02-26T17:47:30.245127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6
24.0%
4 5
20.0%
5 4
16.0%
1 3
12.0%
2 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 3
12.0%
2 2
 
8.0%
3 6
24.0%
4 5
20.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 5
20.0%
3 6
24.0%
2 2
 
8.0%
1 3
12.0%

w3_B01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.85
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.284623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q13.75
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.9333020045
Coefficient of variation (CV)0.2424161051
Kurtosis3.607735041
Mean3.85
Median Absolute Deviation (MAD)0
Skewness-1.401643941
Sum77
Variance0.8710526316
MonotonicityNot monotonic
2025-02-26T17:47:30.326510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 11
44.0%
5 4
 
16.0%
3 4
 
16.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
3 4
 
16.0%
4 11
44.0%
5 4
 
16.0%
ValueCountFrequency (%)
5 4
 
16.0%
4 11
44.0%
3 4
 
16.0%
1 1
 
4.0%

w3_B01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.365363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9176629355
Coefficient of variation (CV)0.2294157339
Kurtosis-0.6868872549
Mean4
Median Absolute Deviation (MAD)1
Skewness-0.4540519733
Sum80
Variance0.8421052632
MonotonicityNot monotonic
2025-02-26T17:47:30.403699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 7
28.0%
5 7
28.0%
3 5
20.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 5
20.0%
4 7
28.0%
5 7
28.0%
ValueCountFrequency (%)
5 7
28.0%
4 7
28.0%
3 5
20.0%
2 1
 
4.0%

w3_B01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.65
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.441687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.268027893
Coefficient of variation (CV)0.3474049021
Kurtosis-0.8636304214
Mean3.65
Median Absolute Deviation (MAD)1
Skewness-0.4607848579
Sum73
Variance1.607894737
MonotonicityNot monotonic
2025-02-26T17:47:30.482932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 7
28.0%
3 5
20.0%
4 4
16.0%
2 3
12.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 3
12.0%
3 5
20.0%
4 4
16.0%
5 7
28.0%
ValueCountFrequency (%)
5 7
28.0%
4 4
16.0%
3 5
20.0%
2 3
12.0%
1 1
 
4.0%

w3_B01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.7
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.525008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.031095483
Coefficient of variation (CV)0.2786744548
Kurtosis-1.251568954
Mean3.7
Median Absolute Deviation (MAD)0.5
Skewness0.03840959548
Sum74
Variance1.063157895
MonotonicityNot monotonic
2025-02-26T17:47:30.561962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 8
32.0%
5 6
24.0%
4 4
16.0%
2 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 2
 
8.0%
3 8
32.0%
4 4
16.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 4
16.0%
3 8
32.0%
2 2
 
8.0%

w3_B01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.35
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.599618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q12.75
median3
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.225818738
Coefficient of variation (CV)0.3659160413
Kurtosis-0.9321923966
Mean3.35
Median Absolute Deviation (MAD)1
Skewness0.005238525549
Sum67
Variance1.502631579
MonotonicityNot monotonic
2025-02-26T17:47:30.640804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7
28.0%
5 5
20.0%
2 4
16.0%
4 3
12.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 4
16.0%
3 7
28.0%
4 3
12.0%
5 5
20.0%
ValueCountFrequency (%)
5 5
20.0%
4 3
12.0%
3 7
28.0%
2 4
16.0%
1 1
 
4.0%

w3_B01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4.15
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.679536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8750939799
Coefficient of variation (CV)0.2108660193
Kurtosis0.2541996712
Mean4.15
Median Absolute Deviation (MAD)1
Skewness-0.8390524109
Sum83
Variance0.7657894737
MonotonicityNot monotonic
2025-02-26T17:47:30.716267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 8
32.0%
4 8
32.0%
3 3
 
12.0%
2 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 3
 
12.0%
4 8
32.0%
5 8
32.0%
ValueCountFrequency (%)
5 8
32.0%
4 8
32.0%
3 3
 
12.0%
2 1
 
4.0%

w3_B01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.

Distinct4
Distinct (%)21.1%
Missing6
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean4.263157895
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.751536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9334586382
Coefficient of variation (CV)0.2189594337
Kurtosis0.1927854336
Mean4.263157895
Median Absolute Deviation (MAD)0
Skewness-1.04802353
Sum81
Variance0.8713450292
MonotonicityNot monotonic
2025-02-26T17:47:30.788702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 10
40.0%
4 5
20.0%
3 3
 
12.0%
2 1
 
4.0%
(Missing) 6
24.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 3
 
12.0%
4 5
20.0%
5 10
40.0%
ValueCountFrequency (%)
5 10
40.0%
4 5
20.0%
3 3
 
12.0%
2 1
 
4.0%

w3_B01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.45
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.825803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.276302225
Coefficient of variation (CV)0.3699426738
Kurtosis-0.5645392192
Mean3.45
Median Absolute Deviation (MAD)1
Skewness-0.6358399662
Sum69
Variance1.628947368
MonotonicityNot monotonic
2025-02-26T17:47:30.865217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 8
32.0%
5 4
16.0%
2 3
 
12.0%
3 3
 
12.0%
1 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 3
 
12.0%
3 3
 
12.0%
4 8
32.0%
5 4
16.0%
ValueCountFrequency (%)
5 4
16.0%
4 8
32.0%
3 3
 
12.0%
2 3
 
12.0%
1 2
 
8.0%

w3_B01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.

Distinct4
Distinct (%)20.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.904055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.00524938
Coefficient of variation (CV)0.2645393105
Kurtosis-0.9992851307
Mean3.8
Median Absolute Deviation (MAD)1
Skewness-0.248694508
Sum76
Variance1.010526316
MonotonicityNot monotonic
2025-02-26T17:47:30.940932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 6
24.0%
4 6
24.0%
3 6
24.0%
2 2
 
8.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 2
 
8.0%
3 6
24.0%
4 6
24.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 6
24.0%
3 6
24.0%
2 2
 
8.0%

w3_B01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:30.979203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105012503
Coefficient of variation (CV)0.2907927639
Kurtosis0.650078105
Mean3.8
Median Absolute Deviation (MAD)1
Skewness-0.8633594516
Sum76
Variance1.221052632
MonotonicityNot monotonic
2025-02-26T17:47:31.020334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 7
28.0%
5 6
24.0%
3 5
20.0%
2 1
 
4.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
3 5
20.0%
4 7
28.0%
5 6
24.0%
ValueCountFrequency (%)
5 6
24.0%
4 7
28.0%
3 5
20.0%
2 1
 
4.0%
1 1
 
4.0%

w3_B01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.

Distinct5
Distinct (%)25.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean3.95
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.060259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316894273
Coefficient of variation (CV)0.3333909552
Kurtosis-0.3471042581
Mean3.95
Median Absolute Deviation (MAD)0.5
Skewness-0.9744574694
Sum79
Variance1.734210526
MonotonicityNot monotonic
2025-02-26T17:47:31.101071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
40.0%
4 4
 
16.0%
2 3
 
12.0%
3 2
 
8.0%
1 1
 
4.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 3
 
12.0%
3 2
 
8.0%
4 4
 
16.0%
5 10
40.0%
ValueCountFrequency (%)
5 10
40.0%
4 4
 
16.0%
3 2
 
8.0%
2 3
 
12.0%
1 1
 
4.0%

w3_B01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.

Distinct4
Distinct (%)21.1%
Missing6
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean4.315789474
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.140294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.108183277
Coefficient of variation (CV)0.2567741739
Kurtosis4.254471789
Mean4.315789474
Median Absolute Deviation (MAD)0
Skewness-2.077743868
Sum82
Variance1.228070175
MonotonicityNot monotonic
2025-02-26T17:47:31.181968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 11
44.0%
4 6
24.0%
1 1
 
4.0%
2 1
 
4.0%
(Missing) 6
24.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
4 6
24.0%
5 11
44.0%
ValueCountFrequency (%)
5 11
44.0%
4 6
24.0%
2 1
 
4.0%
1 1
 
4.0%

w3_C01
Real number (ℝ)

Constant  Missing 

As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No

Distinct1
Distinct (%)5.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.221619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum20
Variance0
MonotonicityIncreasing
2025-02-26T17:47:31.255553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 20
80.0%
(Missing) 5
 
20.0%
ValueCountFrequency (%)
1 20
80.0%
ValueCountFrequency (%)
1 20
80.0%

w3_C02
Real number (ℝ)

Missing 

What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0

Distinct3
Distinct (%)15.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean2.85
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.290243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6708203932
Coefficient of variation (CV)0.2353755766
Kurtosis-0.5481022818
Mean2.85
Median Absolute Deviation (MAD)0
Skewness0.1772581503
Sum57
Variance0.45
MonotonicityNot monotonic
2025-02-26T17:47:31.329973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 11
44.0%
2 6
24.0%
4 3
 
12.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
2 6
24.0%
3 11
44.0%
4 3
 
12.0%
ValueCountFrequency (%)
4 3
 
12.0%
3 11
44.0%
2 6
24.0%

w3_D01
Real number (ℝ)

Constant  Missing 

In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities

Distinct1
Distinct (%)5.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.369497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum20
Variance0
MonotonicityIncreasing
2025-02-26T17:47:31.403551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 20
80.0%
(Missing) 5
 
20.0%
ValueCountFrequency (%)
1 20
80.0%
ValueCountFrequency (%)
1 20
80.0%

w3_interviewtime
Real number (ℝ)

Missing  Zeros 

interviewtime

Distinct22
Distinct (%)91.7%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean902.8075
Minimum0
Maximum8927.77
Zeros3
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.441354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1344.09
median529.095
Q3705.82
95-th percentile1318.306
Maximum8927.77
Range8927.77
Interquartile range (IQR)361.73

Descriptive statistics

Standard deviation1751.299392
Coefficient of variation (CV)1.939837
Kurtosis21.47869396
Mean902.8075
Median Absolute Deviation (MAD)194.525
Skewness4.529952634
Sum21667.38
Variance3067049.561
MonotonicityNot monotonic
2025-02-26T17:47:31.482961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 3
 
12.0%
677.74 1
 
4.0%
634.64 1
 
4.0%
1324.81 1
 
4.0%
580.99 1
 
4.0%
572.36 1
 
4.0%
1121.72 1
 
4.0%
8927.77 1
 
4.0%
493.95 1
 
4.0%
386.86 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
0.0 3
12.0%
93.02 1
 
4.0%
245.32 1
 
4.0%
315.53 1
 
4.0%
353.61 1
 
4.0%
ValueCountFrequency (%)
8927.77 1
4.0%
1324.81 1
4.0%
1281.45 1
4.0%
1212.64 1
4.0%
1121.72 1
4.0%

w3_GT_A
Real number (ℝ)

Missing 

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean249.5990476
Minimum20.35
Maximum995.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.523970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum20.35
5-th percentile78.71
Q195.04
median170.79
Q3224.65
95-th percentile874.22
Maximum995.57
Range975.22
Interquartile range (IQR)129.61

Descriptive statistics

Standard deviation258.5192325
Coefficient of variation (CV)1.035738056
Kurtosis3.898743797
Mean249.5990476
Median Absolute Deviation (MAD)63.68
Skewness2.163551647
Sum5241.58
Variance66832.19355
MonotonicityNot monotonic
2025-02-26T17:47:31.567495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92.52 1
 
4.0%
874.22 1
 
4.0%
140.69 1
 
4.0%
150.0 1
 
4.0%
224.65 1
 
4.0%
995.57 1
 
4.0%
138.53 1
 
4.0%
190.04 1
 
4.0%
93.02 1
 
4.0%
78.71 1
 
4.0%
Other values (11) 11
44.0%
(Missing) 4
 
16.0%
ValueCountFrequency (%)
20.35 1
4.0%
78.71 1
4.0%
92.52 1
4.0%
93.02 1
4.0%
93.45 1
4.0%
ValueCountFrequency (%)
995.57 1
4.0%
874.22 1
4.0%
631.95 1
4.0%
272.75 1
4.0%
234.47 1
4.0%

w3_GT_B
Real number (ℝ)

Missing 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean681.036
Minimum138.47
Maximum7803.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.608506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum138.47
5-th percentile157.3275
Q1191.425
median249.025
Q3296.88
95-th percentile1284.7585
Maximum7803.25
Range7664.78
Interquartile range (IQR)105.455

Descriptive statistics

Standard deviation1689.238924
Coefficient of variation (CV)2.480395931
Kurtosis19.29554973
Mean681.036
Median Absolute Deviation (MAD)58.585
Skewness4.36408293
Sum13620.72
Variance2853528.141
MonotonicityNot monotonic
2025-02-26T17:47:31.655745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
292.31 1
 
4.0%
310.59 1
 
4.0%
241.13 1
 
4.0%
269.85 1
 
4.0%
796.61 1
 
4.0%
7803.25 1
 
4.0%
251.33 1
 
4.0%
138.47 1
 
4.0%
158.32 1
 
4.0%
246.72 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
138.47 1
4.0%
158.32 1
4.0%
162.17 1
4.0%
182.35 1
4.0%
188.47 1
4.0%
ValueCountFrequency (%)
7803.25 1
4.0%
941.68 1
4.0%
796.61 1
4.0%
482.18 1
4.0%
310.59 1
4.0%

w3_GT_C
Real number (ℝ)

Missing 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean121.586
Minimum29.18
Maximum343.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.698870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum29.18
5-th percentile32.942
Q183.18
median111.53
Q3147.2825
95-th percentile214.86
Maximum343.3
Range314.12
Interquartile range (IQR)64.1025

Descriptive statistics

Standard deviation71.20963007
Coefficient of variation (CV)0.5856729399
Kurtosis3.982822955
Mean121.586
Median Absolute Deviation (MAD)31.655
Skewness1.552016464
Sum2431.72
Variance5070.811415
MonotonicityNot monotonic
2025-02-26T17:47:31.740483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
85.89 1
 
4.0%
111.18 1
 
4.0%
183.41 1
 
4.0%
136.5 1
 
4.0%
81.68 1
 
4.0%
111.88 1
 
4.0%
86.21 1
 
4.0%
45.04 1
 
4.0%
67.28 1
 
4.0%
131.61 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
29.18 1
4.0%
33.14 1
4.0%
45.04 1
4.0%
67.28 1
4.0%
81.68 1
4.0%
ValueCountFrequency (%)
343.3 1
4.0%
208.1 1
4.0%
183.41 1
4.0%
162.85 1
4.0%
154.16 1
4.0%

w3_GT_D
Real number (ℝ)

Missing 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean18.668
Minimum11.1
Maximum42.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2025-02-26T17:47:31.781356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum11.1
5-th percentile11.214
Q114.4825
median16.54
Q320.95
95-th percentile29.4955
Maximum42.33
Range31.23
Interquartile range (IQR)6.4675

Descriptive statistics

Standard deviation7.352108613
Coefficient of variation (CV)0.3938348303
Kurtosis4.854399741
Mean18.668
Median Absolute Deviation (MAD)3.165
Skewness1.945810708
Sum373.36
Variance54.05350105
MonotonicityNot monotonic
2025-02-26T17:47:31.824565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
21.97 1
 
4.0%
28.82 1
 
4.0%
15.76 1
 
4.0%
16.01 1
 
4.0%
18.78 1
 
4.0%
17.07 1
 
4.0%
17.88 1
 
4.0%
13.31 1
 
4.0%
11.22 1
 
4.0%
26.66 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 5
20.0%
ValueCountFrequency (%)
11.1 1
4.0%
11.22 1
4.0%
11.59 1
4.0%
13.31 1
4.0%
13.44 1
4.0%
ValueCountFrequency (%)
42.33 1
4.0%
28.82 1
4.0%
26.66 1
4.0%
22.23 1
4.0%
21.97 1
4.0%